Timber Harvesting as a Part of the Portfolio Management: A Multiperiod Stochastic Optimisation Approach
Veli-Pekka Heikkinen ()
Additional contact information
Veli-Pekka Heikkinen: Varma-Sampo Mutual Pension Insurance Company, P.O. Box 1, 00098 Varma-Sampo, Helsinki, Finland
Management Science, 2003, vol. 49, issue 1, 131-142
Abstract:
A multiperiod stochastic optimization model is formulated for a land owner who can speculate between investing harvesting income in financial assets and postponing harvesting. This paper demonstrates the benefits from using a multiperiod model, the effects of cointegration on optimal portfolio, and the differences between the timber harvesting model and the standard financial portfolio optimisation model. The demonstrations are made partly by using a real Finnish forest and price data, and partly by using artificial data. In the real data example, the system is demonstrated using a case where it is assumed that the land owner has several mature forest stands, which can be harvested at any time during the next 3 years. Investment alternatives are stocks, government bonds, and bank deposits. The forestry returns were defined as a sum of exponential physical growth and stumpage price return. The chosen definition of forestry returns makes the model very useful, for example, when speculating on what speed of physical growth is needed to make forestry a competitive investment alternative when both returns and risks are considered.
Keywords: Timber harvesting; Stochastic optimisation; Cointegration (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.49.1.131.12752 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:49:y:2003:i:1:p:131-142
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().